AI wearables could predict Parkinson's falls at home
NCT ID NCT07580612
First seen May 17, 2026 · Last updated May 19, 2026 · Updated 2 times
Summary
This study tests an artificial intelligence (AI) algorithm that uses wearable sensors to detect freezing of gait (a sudden inability to move while walking) in people with Parkinson's disease. The goal is to see if the AI can accurately identify these episodes in a home setting, not just in a lab. Researchers will also work to improve the algorithm for real-time detection. About 126 participants will wear sensors and perform walking tasks at home.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Center for the study of movement, cognition and mobility
NOT_YET_RECRUITINGTel Aviv, 64, Israel
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Department of Rehabilitation Sciences
RECRUITINGLeuven, 3001, Belgium
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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Sports Science and Neurorehabilitation
NOT_YET_RECRUITINGHamburg, 20457, Germany
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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